Characterisation of the SMN1/2 locus using a highly specific variant caller on whole-genome sequence data from 500,000 individuals

Spinal muscular atrophy (SMA) is a rare autosomal recessive condition caused by biallelic loss of the SMN1 gene that results in severe lower motor neuron degeneration in childhood. Targeted pre-symptomatic treatments have been shown to dramatically improve outcomes, supporting the inclusion of SMA in newborn screening programmes. However, ~95% of infantile-onset cases are caused by homozygous deletions of exon 7-8 of the SMN1 gene, which is challenging to detect using short-read next-generation DNA sequencing technology due to the high sequence similarity between SMN1 and its nearby paralog SMN2. Here, we evaluate the performance of an SMN-specific variant caller in ~490,000 adults with whole-genome sequence data in UK Biobank. We also perform a phenome-wide association study (PheWAS) of 4782 diseases and traits for SMN1 deletion carriers. We show that the SMNCopyNumberCaller performs extremely well, identifying 8856 (1.8%) heterozygous carriers and just two (0.0004%) individuals with homozygous SMN1 deletions, of whom one had been diagnosed with SMN1-SMA. From the PheWAS, we found novel associations between SMN1/2 copy number and the level of several circulating proteins encoded or regulated by genes near the SMN locus, further validating the accuracy of the caller. Our results suggest that using a specialist variant caller can accurately determine SMN1/2 copy number from short-read DNA sequencing technology, achieving a very high specificity (~100%) for homozygous SMN1 deletions. The number of false positive results for SMN1-SMA is therefore likely to be extremely low when using short-read whole-genome sequencing at a population level.

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Publication Details

Journal
European Journal of Human Genetics
Published
2026-07-02
DOI
https://doi.org/10.1038/s41431-026-02175-x
Primary Topic
Neurogenetic and Muscular Disorders Research
Type
article
Field-Weighted Citation Impact
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article

Characterisation of the SMN1/2 locus using a highly specific variant caller on whole-genome sequence data from 500,000 individuals

Caroline F. Wright, James Fasham, Robin N. Beaumont, Leigh Jackson et al.
European Journal of Human Genetics
Neurogenetic and Muscular Disorders Research
article

Characterisation of the SMN1/2 locus using a highly specific variant caller on whole-genome sequence data from 500,000 individuals

Caroline F. Wright, James Fasham, Robin N. Beaumont, Leigh Jackson, Emma L. Baple, Michael N. Weedon, T. S. Hall
article en

Abstract

Spinal muscular atrophy (SMA) is a rare autosomal recessive condition caused by biallelic loss of the SMN1 gene that results in severe lower motor neuron degeneration in childhood. Targeted pre-symptomatic treatments have been shown to dramatically improve outcomes, supporting the inclusion of SMA in newborn screening programmes. However, ~95% of infantile-onset cases are caused by homozygous deletions of exon 7-8 of the SMN1 gene, which is challenging to detect using short-read next-generation DNA sequencing technology due to the high sequence similarity between SMN1 and its nearby paralog SMN2. Here, we evaluate the performance of an SMN-specific variant caller in ~490,000 adults with whole-genome sequence data in UK Biobank. We also perform a phenome-wide association study (PheWAS) of 4782 diseases and traits for SMN1 deletion carriers. We show that the SMNCopyNumberCaller performs extremely well, identifying 8856 (1.8%) heterozygous carriers and just two (0.0004%) individuals with homozygous SMN1 deletions, of whom one had been diagnosed with SMN1-SMA. From the PheWAS, we found novel associations between SMN1/2 copy number and the level of several circulating proteins encoded or regulated by genes near the SMN locus, further validating the accuracy of the caller. Our results suggest that using a specialist variant caller can accurately determine SMN1/2 copy number from short-read DNA sequencing technology, achieving a very high specificity (~100%) for homozygous SMN1 deletions. The number of false positive results for SMN1-SMA is therefore likely to be extremely low when using short-read whole-genome sequencing at a population level.

European Journal of Human Genetics
University of Exeter (GB), Royal Devon and Exeter Hospital (GB)
National Institute for Health and Care Research, Department of Health and Social Care, University of Exeter, Medical Research Council
Openalex Percentile: Top 8%
Neurogenetic and Muscular Disorders Research
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